Private, Self-Hosted LLM Solutions

Empower your business to fully embrace Artificial Intelligence and Machine Learning, without compromising privacy, performance, or cost efficiency. With CosmosGrid's MLOps-driven private LLM solutions, you can securely deploy, manage, and optimize open-source and fine-tuned models within your private cloud.

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Private LLM

Enterprise AI Infrastructure

AT A GLANCE

Deploy Enterprise-Grade AI — On Your Terms

We build, host, and maintain LLM environments designed for complete data control, predictable costs, and continuous optimization. CosmosGrid enables your organization to harness the power of advanced LLMs without sending data to third-party APIs.

Connect with our engineering team to design a private AI architecture tailored to your security, compliance, and performance goals — or continue reading to explore how our platform helps you own your AI stack confidently.

Key Capabilities

Secure, Scalable, and Customizable AI Infrastructure

Our private LLM solutions provide comprehensive MLOps automation with complete data sovereignty and enterprise-grade security.

Private Model Hosting

Deploy open-source and fine-tuned LLMs (e.g., Llama, Mistral, Gemma, Falcon, DeepSeek) within your own cloud or on-premises environment. Maintain complete control over data residency and model updates.

Full-Stack MLOps Automation

Leverage a robust MLOps foundation to manage training, fine-tuning, deployment, and lifecycle operations — all integrated with your existing DevOps pipelines.

RAG (Retrieval-Augmented Generation) Pipelines

Enable your LLMs to retrieve and reason over your private documents securely using vector databases like Milvus, pgvector, or Weaviate for real-time contextualization.

Multi-Model Flexibility

Host multiple model types — text, image, and code — in a unified platform. Seamlessly integrate with your internal tools, CRMs, chat systems, and analytics platforms.

Security & Compliance Controls

Enforce strict access policies, encryption, and audit logging with SSO, RBAC, network isolation, and air-gapped configurations to meet GDPR, SOC 2, and ISO standards.

Observability & Optimization

Gain deep visibility into model performance with Prometheus, Grafana, and Loki dashboards for token usage, latency, and cost metrics. Identify inefficiencies and continuously tune performance.

Fine-Tuning & Adaptation

Customize LLMs for your domain using LoRA, QLoRA, or full-fine-tuning workflows — all within your environment, ensuring no proprietary data leaves your network.

Continuous Updates & Maintenance

Receive regular model updates, patching, and performance audits while maintaining uptime and reliability, all within your private infrastructure.

Our Private LLM Deployment Framework

A Proven, Repeatable Approach for Secure AI Implementation

We follow a structured methodology to ensure successful private LLM deployments with complete security and optimal performance.

Discovery & Requirements Definition

We begin with a detailed assessment of your goals, infrastructure, and data sensitivity. Key Activities: environment audit, data flow mapping, compliance assessment, model benchmarking.

Discovery & Requirements Definition
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Value for Our Clients

AI That's Yours — Secure, Scalable, and Efficient

Private LLM solutions that deliver complete data sovereignty while maintaining enterprise-grade performance and reliability.

Total Data Sovereignty

All prompts, responses, and embeddings stay within your infrastructure — never shared or transmitted externally.

Optimized Performance & Cost Efficiency

Run models with GPU/CPU auto-scaling, quantization, and caching to balance performance with predictable cost structures.

Tailored to Your Use Cases

Fine-tuned and optimized for your specific business needs — whether powering internal copilots, chatbots, content automation, or analytics systems.

Enterprise-Grade Reliability

High availability, redundancy, and automated monitoring ensure seamless operation for mission-critical workloads.

Integration-Ready Architecture

Connect AI capabilities with your enterprise systems — from CRM and ERP to project management and ticketing tools.

Long-Term Flexibility

Your private AI stack evolves with your business — new models, new datasets, and new capabilities without vendor lock-in.

Why Choose CosmosGrid for Private LLM Deployment

From Infrastructure to Intelligence — We Build End-to-End AI Systems

CosmosGrid's engineers deliver complete private AI solutions with comprehensive MLOps automation and enterprise-grade security.

Privacy-First by Design

Our solutions are built to keep sensitive data secure — from isolated networks to encrypted storage and local inference pipelines.

Customizable Stack

Continuous Model Optimization

Transparent Collaboration

Global Reliability

Technologies We Use

The CosmosGrid Private AI Stack

We combine cutting-edge MLOps tools and frameworks to deliver comprehensive private LLM solutions.

vLLM

vLLM

TensorRT-LLM

TensorRT-LLM

Ollama

Ollama

LangChain

LangChain

Milvus

Milvus

pgvector

pgvector

Vault

Vault

Terraform

Terraform

vLLM

vLLM

TensorRT-LLM

TensorRT-LLM

Ollama

Ollama

LangChain

LangChain

Milvus

Milvus

pgvector

pgvector

Vault

Vault

Terraform

Terraform

Frequently Asked Questions

Everything You Need to Know About Private LLMs

Yes. We support fully disconnected (air-gapped) installations where all inference, fine-tuning, and observability run locally without internet access.

Any open-source or licensed model, including Llama, Mistral, Gemma, Falcon, DeepSeek, and custom fine-tunes. We benchmark models to fit your hardware and compliance needs.

Absolutely. We can deploy multimodal pipelines for image generation, code assistance, and speech processing.

All data remains within your environment. We enforce encrypted storage, access control, and network isolation — no external API calls or vendor dependencies.

Yes. We provide APIs and connectors for integration with internal chat tools, ticketing systems, analytics dashboards, and more.

Yes. We offer comprehensive handover, documentation, and live workshops on operations, prompt design, and performance optimization.

Typical deployments take 3-4 weeks, depending on environment complexity, security requirements, and data readiness.

We do. We handle fine-tuning workflows, evaluate model quality, and deliver updates through CI/CD pipelines without downtime.

Yes. We implement autoscaling, quantization, and spot instance scheduling to minimize GPU utilization and runtime costs.

Ready to Deploy Your Private LLM?

Let us help you implement secure, private LLM solutions that keep your data sovereign while delivering enterprise-grade AI capabilities.